skcla_nb: Gaussian Naive Bayes Classifier

In daltoolboxdp: Python-Based Extensions for Data Analytics Workflows

Gaussian Naive Bayes Classifier

Description

Implements classification using the Gaussian Naive Bayes algorithm. This function wraps the GaussianNB from Python's scikit-learn library.

Usage

skcla_nb(attribute, slevels, var_smoothing = 1e-09, priors = NULL)

Arguments

attribute	Target attribute name for model building
slevels	List of possible values for classification target
var_smoothing	Portion of the largest variance of all features that is added to variances
priors	Prior probabilities of the classes. If specified must be a list of length n_classes

Details

Naive Bayes Classifier

Value

A Naive Bayes classifier object

skcla_nb object

Examples

#See an example of using `skcla_nb` at this
#https://github.com/cefet-rj-dal/daltoolboxdp/blob/main/examples/skcla_nb.md

daltoolboxdp documentation built on June 29, 2025, 5:07 p.m.